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基于BP神经网络考查课评分系统
引用本文:吉淑娇,牟敦海. 基于BP神经网络考查课评分系统[J]. 长春大学学报, 2011, 0(4): 22-24,32
作者姓名:吉淑娇  牟敦海
作者单位:长春大学电子信息工程学院;珲春金山矿业有限公司
摘    要:考查课在大学课程中占有很大的比例,而其成绩的评定易受教师主观因素影响,不够准确。利用具有自学习、自识别能力的BP神经网络建立考查课考评体系,不断调整网络的权值使SSE(平方误差和)总朝着减小的方向发展,直到达到目标误差为止。

关 键 词:BP神经网络  考查课  评分系统

Application of marking system for checking courses based on BP neural network
JI Shu-jiao,MU Dun-hai. Application of marking system for checking courses based on BP neural network[J]. Journal of Changchun University, 2011, 0(4): 22-24,32
Authors:JI Shu-jiao  MU Dun-hai
Affiliation:1.College of Electronic Information Engineering,Changchun University,Changchun 130022,China;2.Jinshan Mineral Products Co.Ltd.of Hunchun,Hunchun 133300,China)
Abstract:There are many checking courses in universities.It is susceptible to subjective factors when teachers decide what score a student should have,and the result is not accurate enough.It is necessary to establish a model of checking courses appraisal system by applying BP neural network principle that has the ability of self-learning and self-recognition.We need continuously adjust the network weight to reduce the sum squared error until it reaches the target.
Keywords:BP neural network; checking course; marking system
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